Bibliographic record
Abstract
"I startedTo write you lettersBut I wantedTo be more cleverI wanted to get down and sweet talk you" FIRST VERSE: Steven and Dmitrii (@beardedhusbands) are our #GayRelationshipGoals for the week! These Norway-based gents are beautifully coupled and scrolling through their IG page will prove just that. When a Canadian opera singer and Russian engineer get together, you're bound to see fireworks. Check them out and take part in the magic! Then, Marko and Tony do something a little different and read your Listener Shituations in place of a conversation. One enthusiastic listener asks the guys four different questions, and Marko and Tony spend the time answering them. Find out how the guys respond to the inquiries and send your questions to the podcast so you can get your own segment too! Finally, we are (ridiculously) excited to be joined by the hosts of the (@dnrshow): Derek and Romaine, this week. The longtime co-hosts join us at the Virtual Critable to talk about their queer beginnings, meeting one another for the first time, and current (or lack of) relationships. Get ready to laugh your head off ... CHORUS: "Can we talk for a minute?Girl I want to know your nameCan we talk for a minute?Girl I want to know your name"BRIDGE: Get Help | If you need a licensed therapist but can't leave your home, go to www.betterhelp.com/critellis and get some help, today. Visit Us | www.podrelationshit.com for more Relationsh!t content and information about the podcast. Tune In | Tune in to Relationsh@ for a behind the scenes post-show conversation about this week's episode! Visit Instagram (@podrelationshit) every week for more Relationshit content! Donate | Head over to patreon.com/podrelationshit and start donating today! Your donations will give you early access to the podcast and give you behind-the-scenes interviews with our weekly guests. Shop | Head to proraso-usa.com right now and use promo code RELATIONSHIT20 for 20% off your beard care or shave needs! Purchase now and use the hashtags #ShowUsYourShave or #ShowUsYourBeard for a chance to be highlighted on our IG Story! Email Us | Fill out a Listener Shituation on our website, or email us at relationshitquestions@gmail.com. Once a month, we will answer your questions on the podcast and do our best to give some guidance. Rate Us | Go to your favorite podcast directory and give Relationsh!t a 5-Star rating, and fantastic review! Follow Us | Instagram, Twitter, and Facebook: @podrelationshit And follow Marko and Tony on Instagram (@thecritellis) if you want a BTS look into their relationship and adventures!Support the show (http://www.patreon.com/podrelationshit)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.837 | 0.024 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".